|Date||Dec 23, 2020|
|Dept.||University of Connecticut|
※ Zoom meeting
ID: 834 5325 6158
In this talk, we will consider whether a machine can be trained to recognize patterns in mathematics. As a case study, some basic invariants in number theory such as the class number of a real quadratic field and the rank of an elliptic curve will be tested through machine-learning tools. We will observe that machine-learning classifiers perform surprisingly well with high accuracy (> 0.97).